CUID: A New Study Of Perceived Image Quality And Its Subjective Assessment

Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those a...

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Bibliographic Details
Published in:Proceedings - International Conference on Image Processing pp. 116 - 120
Main Authors: Leveque, Lucie, Yang, Ji, Yang, Xiaohan, Guo, Pengfei, Dasalla, Kenneth, Li, Leida, Wu, Yingying, Liu, Hantao
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2020
Subjects:
Image quality assessment
mean opinion score
objective metric
subjective testing
visual perception
ISSN:2381-8549
Online Access:Get full text
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Summary:Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of real-world digital content. Perceptual evidence from human subjects serves as a grounding for the development of advanced IQA algorithms. It is thus critical to acquire reliable subjective data with controlled perception experiments that faithfully reflect human behavioural responses to distortions in visual signals. In this paper, we present a new study of image quality perception where subjective ratings were collected in a controlled lab environment. We investigate how quality perception is affected by a combination of different categories of images and different types and levels of distortions. The database will be made publicly available to facilitate calibration and validation of IQA algorithms.
ISSN:2381-8549
DOI:10.1109/ICIP40778.2020.9190737